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AI PromptsCategoriesSAAS

📈 Watch Recurring Revenue and Churn

Turn the app you built for yourself into something other people pay to use. These prompts add the parts that make a tool into a product: customer sign-in, plans and trials, limits that mean something, a billing lifecycle that handles the awkward cases, and an admin view so you can see who is actually using it. The unglamorous half nobody enjoys assembling.
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Watch Recurring Revenue and Churn

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I know my total revenue and nothing else. Build me a recurring revenue dashboard. Work out monthly recurring revenue from active subscriptions, and break the movement each month into new business, expansion from upgrades, contraction from downgrades, and churn from cancellations, so a flat month cannot hide heavy movement in both directions. Show churn both as a count of accounts and as a percentage of revenue. Show average revenue per account and retention by the month an account joined, so cohorts can be compared. Flag accounts at risk using signals I define such as falling usage, no sign-in for a period, or a failed payment. Add an AI agent that writes me a plain summary each month saying what actually moved and why, naming the specific accounts behind any large change rather than only reporting percentages. Automate a scheduled monthly report and an immediate alert when a large account downgrades or shows the at-risk signals. Two logins: an owner who sees everything, and a team member who sees the at-risk list without the revenue figures.

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01 / Spark - intelligence awakens

Watch Recurring Revenue and Churn

Track monthly recurring revenue split into new, expansion, contraction, and churn, with at-risk accounts flagged early.

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// the spark catches · intelligence awakens · the answer unfolds

Total revenue hides everything. This splits it into new, expansion, contraction, and churn, which is the only view that tells you what to do next.

What's Included

  • Revenue split into its parts new, expansion, contraction, and churn.
  • Churn by count and by value because losing a large account is different.
  • Accounts at risk flagged before they leave rather than after.
  • An assistant that explains what actually moved this month.

How To Use

  1. Split the movement. A flat month can hide heavy churn and heavy growth.
  2. Track churn by value as well as by count.
  3. Watch usage decline. It leads cancellation by weeks.
  4. Look at the cohort, not just the month. Retention shows up over time.

Feed it from billing lifecycle, and act on the at-risk list with CRM prompts.

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